write_plate_summary_for_bursts: Prints bursting features
In meaRtools: Micro-Electro Array (MEA) Analysis

Description Usage Arguments Value Examples

The function reads the MEA data structure and uses the 'allb' list built using mi_find_bursts. It then prints all bursting features summary per well and per channel in _bursts.csv and _well_bursts.csv

1	write_plate_summary_for_bursts(s, outputdir)

`s`	MEA data structure
`outputdir`	Output directory

Output file _bursts.csv holds all features generated for bursts per well and per channel:

`treatment`	the treatment/genotype based on the experimental log file plan
`well`	well number
`nae`	number of active electrodes
`nAB`	number of electrodes with bursts
`duration`	total duration of bursts
`mean_dur`	mean duration of bursts
`mean_freq`	firing rate (Hz)
`nbursts`	number of bursts
`bursts_per_sec`	bursts/second.matrix(nrow=0,ncol=1)
`bursts_per_min`	bursts/min
`sd_dur`	sd of burst duration
`mean_freq_in_burst`	average frequency of spikes in a burst
`sd_freq_in_burst`	sd of frequency of spikes in a burst
`mean_spikes_in_burst`	mean number of spikes in a burst
`sd_spikes_in_burst`	sd of number of spikes in a burst
`total_spikes_in_burst`	total number of spikes in a bursts
`per_spikes_in_burst`	percent of spikes in a burst
`mean_isis`	mean ISI within a burst
`sd_isis`	sd ISI within a burst
`mean_ibis`	mean IBI
`sd_ibis`	sd of ibis
`cv_ibis`	Coefficient of variation of IBI (= mean_ibi/sd_ibi)
`file`	input recording file

data("S")  
output_dir = file.path(tempdir(),"Analysis")
print(paste0("Creating output folders under ",output_dir))
dir.create(output_dir)

s<-list(); s[[1]]<-S
write_plate_summary_for_bursts(s, output_dir)